To verify the performance of algorithm URIR, We use three data sets: (1) Job data set describes some occupations that users have carried on; (2) Ml [1]} is a data set widely used in movie recommendation; (3) Yelp [1]} records users ratings of some businesses. In order to better verify the performance of the model in solving the cold start problem, we limit the number of user interactions with items to less than 20 [3]}. The attributes of the data sets are shown in Table REF . Users represents the number of users, items represents the number of items, relations represents the number of relation types, edges represents the number of edges, interactions represents the number of interactions, entities represents the number of entities (nodes).
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